The Existential Hope Podcast

Why people agree on the future more than the present, and what it means for governance

The Existential Hope Podcast

Show Notes

Political polarization might have a surprisingly simple fix: ask people what they want for their communities in 50 years instead of today, and their answers start to look remarkably similar. But almost no political system is built to plan that long-term.

In this episode we talk to Taylor Dee Hawkins, founder of Foundations for Tomorrow, a nonprofit pushing for long-term governance reform in Australia and internationally.

We cover topics like: Why the problem with political leadership isn't individual leaders, but the incentive structures and systems designed to reward short-term decisions at the expense of long-term ones Why naming political procrastination is the first step to solving it How Foundations of Tomorrow secured cross-party support in a polarized parliament by making the economic case for long-term policy rather than the moral one Why planning for the future doesn’t have to come at the expense of present generations Taylor’s advice for a young person who wants to get started in long-term policy, and what she has learned from years of being the youngest person in the room

Timestamps: 0:00 Cold open 0:56 From climate advocacy to long-term governance: founding Foundations for Tomorrow 3:07 What made Taylor quit her job during COVID and start an organization 4:18 Why bad leadership isn't the problem, but broken incentive structures are 5:53 Policrastination: naming political procrastination so we can tackle it 6:59 What can actually be done about political short-termism 9:08 Governments leading the way on long-term thinking: Finland, Wales, Singapore, Kenya 13:17 The biggest misconception about long-term governance 14:29 How long-term thinking earns cross-party support in a polarized parliament 16:06 What the world looks like if every country takes future generations seriously 18:14 When long-term thinking goes wrong 19:25 Why one-solution thinking is the most overhyped idea in governance reform 20:44 The sharpest critiques of Taylor's work and what they've taught her 22:42 How governance can keep pace with fast-moving technology 24:12 Being the youngest person in the room: what Taylor does about it 25:58 How to break into long-term governance work 29:29 How to stay anchored to the long term when everything pulls you short-term 30:26 Taylor's existential hope vision for the future 31:13 The technology Taylor wishes existed 31:39 What Taylor would be doing if not this 31:57 The best piece of advice Taylor has ever received

On the Existential Hope Podcast hosts Allison Duettmann and Beatrice Erkers from the Foresight Institute invite scientists, founders, and philosophers for in-depth conversations on positive, high-tech futures.

Full transcript, listed resources, and more: https://www.existentialhope.com/podcasts

Follow on X. Hosted on Acast. See acast.com/privacy for more information.

More from The Existential Hope Podcast

Oct 14, 2026

We see elections as the foundation of our democracy, but Aristotle thought they create an oligarchy. In ancient Athens, democracy worked by choosing leaders among ordinary citizens by lottery. How could we revive this idea to improve today’s democratic systems?

Sep 30, 2026

For 50,000 of generations, humans have passed civilization down to their children. We could be the first generation to hand its future to AIs instead. Should we? Or could the best AI be the kind that chooses to step back and leave some things to us?

Sep 22, 2026

Google DeepMind has a 7-hour-long roleplaying game that helps real scientists and policy makers understand how AI will transform science by 2030. And those who played it have found it more informative than any policy brief.

Sep 16, 2026

In 2024, Taiwan was flooded with deepfake scam ads. Instead of a crackdown, the government texted 200,000 random citizens: what should we do? People’s proposals became law within months, and by 2025 deepfake ads were down 94%.

Aug 26, 2026

There are AIs running labs with little human intervention right now. And they’re doing experiments that human experts would never try. Is this changing what and how science gets done?

See all episodes →